Graham Wheeler

1.8k total citations · 1 hit paper
31 papers, 847 citations indexed

About

Graham Wheeler is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Graham Wheeler has authored 31 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Graham Wheeler's work include Statistical Methods in Clinical Trials (13 papers), Optimal Experimental Design Methods (5 papers) and Computational Drug Discovery Methods (4 papers). Graham Wheeler is often cited by papers focused on Statistical Methods in Clinical Trials (13 papers), Optimal Experimental Design Methods (5 papers) and Computational Drug Discovery Methods (4 papers). Graham Wheeler collaborates with scholars based in United Kingdom, United States and France. Graham Wheeler's co-authors include Adrian Mander, Christina Yap, Thomas Jaki, Christopher J. Weir, Alun Bedding, Lang’o Odondi, Philip Pallmann, Jane Holmes, Lisa V. Hampson and James Wason and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Graham Wheeler

31 papers receiving 835 citations

Hit Papers

Adaptive designs in clinical trials: why use them, and ho... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Graham Wheeler
Perrine Janiaud United States
Spencer Phillips Hey United States
John D. Emerson United States
Annika Hoyer Germany
Ying‐Qi Zhao United States
Vance W. Berger United States
Alun Bedding United Kingdom
Perrine Janiaud United States
Graham Wheeler
Citations per year, relative to Graham Wheeler Graham Wheeler (= 1×) peers Perrine Janiaud

Countries citing papers authored by Graham Wheeler

Since Specialization
Citations

This map shows the geographic impact of Graham Wheeler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Graham Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham Wheeler more than expected).

Fields of papers citing papers by Graham Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham Wheeler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Graham Wheeler. The network helps show where Graham Wheeler may publish in the future.

Co-authorship network of co-authors of Graham Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Wheeler. A scholar is included among the top collaborators of Graham Wheeler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Graham Wheeler. Graham Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mullish, Benjamin H., Andrew J. Innes, Lauren A. Roberts, et al.. (2024). Intestinal M icrobiota Transplant Prior to A llogeneic S tem Cell T ransplant (MAST) trial: study protocol for a multicentre, double-blinded, placebo-controlled, phase IIa trial. BMJ Open. 14(12). e093120–e093120. 1 indexed citations
3.
Homer, Victoria, Christina Yap, Simon Bond, et al.. (2022). Early phase clinical trials extension to guidelines for the content of statistical analysis plans. BMJ. 376. e068177–e068177. 17 indexed citations
4.
Heath, Laura, Susan A. Jebb, Richard Stevens, et al.. (2022). Effects of a group-based weight management programme on anxiety and depression: A randomised controlled trial (RCT). PLoS ONE. 17(2). e0263228–e0263228. 5 indexed citations
5.
Jayaram, Anuradha, Anna Wingate, Daniel Wetterskog, et al.. (2021). Plasma tumor gene conversions after one cycle abiraterone acetate for metastatic castration-resistant prostate cancer: a biomarker analysis of a multicenter international trial. Annals of Oncology. 32(6). 726–735. 36 indexed citations
6.
Fennell, Dean A., Sarah Danson, Penella J. Woll, et al.. (2020). Ganetespib in Combination with Pemetrexed–Platinum Chemotherapy in Patients with Pleural Mesothelioma (MESO-02): A Phase Ib Trial. Clinical Cancer Research. 26(18). 4748–4755. 13 indexed citations
7.
Grayling, Michael J. & Graham Wheeler. (2020). A review of available software for adaptive clinical trial\ndesign. Europe PMC (PubMed Central). 18 indexed citations
8.
Förster, Martin, Robert Metcalf, Joseph J. Sacco, et al.. (2020). 922P EACH: A phase II study evaluating the safety and anti-tumour activity of avelumab and cetuximab in recurrent/metastatic squamous cell carcinomas. Annals of Oncology. 31. S665–S665. 5 indexed citations
10.
Pallmann, Philip, Fang Wan, Adrian Mander, et al.. (2019). Designing and evaluating dose-escalation studies made easy: The MoDEsT web app. Clinical Trials. 17(2). 147–156. 7 indexed citations
11.
Wheeler, Graham, Adrian Mander, Alun Bedding, et al.. (2019). How to design a dose-finding study using the continual reassessment method. BMC Medical Research Methodology. 19(1). 18–18. 52 indexed citations
12.
Fennell, Dean A., Sarah Danson, Martin Förster, et al.. (2018). MA12.05 Phase 1 Study of HSP90 Inhibitor Ganetespib with Pemetrexed and Cisplatin/Carboplatin Chemotherapy for Pleural Mesothelioma. Journal of Thoracic Oncology. 13(10). S397–S397. 2 indexed citations
13.
Pallmann, Philip, Alun Bedding, Babak Choodari‐Oskooei, et al.. (2018). Adaptive designs in clinical trials: why use them, and how to run and report them. BMC Medicine. 16(1). 29–29. 415 indexed citations breakdown →
14.
Wheeler, Graham, Michael Sweeting, & Adrian Mander. (2018). A Bayesian Model-Free Approach to Combination Therapy Phase I Trials Using Censored Time-to-Toxicity Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 68(2). 309–329. 4 indexed citations
15.
Ahern, Amy L., Graham Wheeler, Paul Aveyard, et al.. (2017). Extended and standard duration weight-loss programme referrals for adults in primary care (WRAP): a randomised controlled trial. The Lancet. 389(10085). 2214–2225. 155 indexed citations
16.
Wheeler, Graham, Michael Sweeting, & Adrian Mander. (2016). AplusB: A Web Application for Investigating A + B Designs for Phase I Cancer Clinical Trials. PLoS ONE. 11(7). e0159026–e0159026. 7 indexed citations
17.
Wheeler, Graham. (2016). Incoherent dose-escalation in phase I trials using the escalation with overdose control approach. Statistical Papers. 59(2). 801–811. 4 indexed citations
18.
Kiss, Nicole, Elisabeth Isenring, Karla Gough, et al.. (2014). Outcomes from a pilot randomised controlled trial of early and intensive dietary counselling in lung cancer patients receiving (chemo)radiotherapy. Own your potential (DEAKIN). 1 indexed citations
19.
Harrington, Jennifer, Graham Wheeler, Michael Sweeting, Adrian Mander, & Duncan I. Jodrell. (2013). Adaptive designs for dual-agent phase I dose-escalation studies. Nature Reviews Clinical Oncology. 10(5). 277–288. 42 indexed citations
20.
Kritzinger, Pieter S. & Graham Wheeler. (1989). A Protocol Engineering Workstation. 53–59. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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